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About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable...
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Description du poste Postdoc / Postdoc description Département / Department: Unité / Unit:Center for African Studies Université / University:Mohammed VI Polytechnic University Durée/Duration: years
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, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming
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. Scientific rigor, teamwork ability, and good communication skills (English proficiency required; French optional but appreciated). Position Details Contract: Full-time postdoc, 18-month fixed-term, renewable
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Analysis Location: Centre for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University (UM6P), Morocco About the Position The CRSA is a leading research hub dedicated to advancing geospatial
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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, remote sensing data analysis, images processing, and geospatial analysis. Experience working with satellite imageries (e.g., Sentinel-1, Landsat, Sentinel-2) and other remote sensing data sources
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applications for a Postdoctoral Researcher to contribute to a project exploring the intersection between urban heritage and spatial justice. The postdoc will work within a multidisciplinary research team and
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techniques. Proficiency in R, Python, or MATLAB for data processing, geospatial analysis, and statistical modeling. Experience with time series analysis, spatial mapping, and oceanographic data interpretation
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advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more of the following research areas: Development of efficient numerical linear